Nadjia Benblidia

Blida1 University

Digital micromirror devices (DMD) have gained significant attention in various scientific and industrial domains due to their potential for spatial light and laser modulation. However existing micromirrors designs often face limitations in terms of rotation angles, voltage consumption, and stability time for some type of applications. In this paper...

Breast cancer is still the primary reason for women’s mortality. It will be necessary to detect the micro-neoplasm signs, to assess the presence or the absence of malignancy precisely. In this context, transfer learning is an efficient resolution to the difficulties of deep network training, through small medical datasets, which can be computationa...

Individuals with hearing impairments often rely on non-verbal communication, including facial expressions and gestures. systems for Visual Speech Recognition (VSR) face challenges due to insufficient datasets and the complexity of extracting nuanced lip movements. In response, Our aim focuses on providing a two-fold framework, BlidAVS10. Firstly, w...

Diabetic retinopathy (DR) is particularly interesting, because it is the most common cause of blindness (a struggle for sight) in the workforce, and because its incidence is also increasing very strongly in emerging countries. The early detection of this disease is essential for a good prognosis, but the insufisance of ophthalmologist and expensive...

p>Background subtraction is the first and basic stage in video analysis and smart surveillance to extract moving objects. In fact, the background subtraction library (BGSLibrary) was created by Andrews Sobral in 2012, which currently combines 43 background subtraction algorithms from the most popular and widely used in the field of video analysis....

It is often tricky in real-life classification applications to select model features that would ensure an adequate sample classification, given a large number of candidate features. Our main contribution is three-fold: (1) Evaluate the relevance and redundancy of feature. (2) Define the feature selection problem as eigenvalue computation problem wi...

Since it was invented, Elliptic Curve Cryptography (ECC) is considered an ideal choice for implementing public key cryptography in resource constrained devices, thanks to its small keys. Scalar point multiplication is the central and the complex operation in the cryptographic computations of ECC that requires a lot of optimizations on execution tim...

Security management for IoT applications is a critical research field, especially when taking into account the performance variation over the very different IoT devices. In this paper, we present high-performance client/server coordinators on low-cost SoC-FPGA devices for secure IoT data collection. Security is ensured by using the Transport Layer...

Elliptic curve cryptography (ECC) is an approach to public-key cryptography used for data protection to be unintelligible to any unauthorized device or entity. The encryption/decryption algorithm is publicly known and its security relies on the discrete logarithm problem. ECC is ideal for weak devices with small resources such as phones, smart card...

In this paper, we present Microblaze-based parallel architectures of Elliptic Curve Scalar Multiplication (ECSM) computation for embedded Elliptic Curve Cryptosystem (ECC) on Xilinx FPGA. The proposed implementations support arbitrary Elliptic Curve (EC) forms defined over large prime field ((Formula presented.)) with different security-level sizes...

Traditional data warehousing technologies have been widely used for simple data analysis. Nonetheless, they are not suitable for textual data. To deal with this type of complex data, new systems have been proposed. However, they only cover partially the complexity of textual data, which might therefore affect decision-making quality. This paper pro...

Diagnosis of breast cancer is the main worry of oncologists of this era, which knows an anxiogenic increase of the incidence in the world. This paper is destined for the semi-automatic detection of breast neoplasm taken, from digital mammograms of MIAS database (Mammographic Image Analysis Society). This research is focusing on analysis of masses a...

In this paper, we propose a modified version of the Context-aware Stemming algorithm, itself based on the well-known Porter stemmer in an effort to maximize the proportion of the meaningful stems and thus, the search effectiveness without compromising the other performance measures. Several stemmers are presented and a synergetic hybrid solution is...

Data Warehousing technologies and On-Line Analytical Processing (OLAP) feature a wide range of techniques for the analysis of structured data. However, these techniques are inadequate when it comes to analyzing textual data. Indeed, classical aggregation operators have earned their spurs in the online analysis of numerical data, but are unsuitable...

We propose an algorithm for salient object detection (SOD) based on multi-scale graph ranking and iterative local–global object refinement. Starting from a set of multi-scale image decompositions using superpixels, we propose an objective function which is optimized on a multi-layer graph structure to diffuse saliency from image borders to salient...

We propose a multi-layer graph based approach for salient object detection in natural images. Starting from a set of multi-scale image decomposition using superpixels, we propose an objective function optimized on a multi-layer graph structure to diffuse saliency from image borders to salient objects. After isolating the object kernel, we enhance t...

This paper proposes a method for event recognition in photo albums which aims at predicting the event categories of groups of photos. We propose a probabilistic graphical model (PGM) for event prediction based on high-level visual features consisting of objects and scenes, which are extracted directly from images. For better discrimination between...

Mining the interesting association rules from data and clusters presents high demands in many application fields, such as telephonic operator, social networks, marketing especially in decision-making process. Exploring the set of extracted rules from the high dimensional data and clusters presents a serious challenge of visual analytic process. Thi...

This paper presents the Hardware/Software (HW/SW) implementation of Scalar Multiplication (SM) for Elliptic Curve Cryptosystem (ECC) over prime field Fp At low level of abstraction, the SM execution is based on the Modular Addition Subtraction (MAS) and the Modular Multiplication (MM) operations. In this work, we propose the implementation of the S...

The use of cloud computing in the medical sector has many advantages such as: reducing costs, sharing and exchanging information between medical institutions, data availability ... However, the centralization of sensitive health data in the Cloud Computing raises numerous problems concerning security and data privacy. Since the importance and sensi...

Dans ce papier, nous proposons une approche d’annotation automatique d’images par le contenu. Notre approche est appliquée aux images rétiniennes pour l’aide au diagnostic médical relatif à la rétinopathie diabétique (RD). Pour cela, nous utilisons l’approche de l’arbre quaternaire pour indexer une image. Chaque image de la base est représentée par...

After highlighting vessel like structure by an appropriate filter in Matched Filter (MF) technique, thresholding strategy is needed for the automated detection of blood vessels in retinal images. For the purpose, we propose to use a new technique of entropic thresholding based on Gray Level Spatial Correlation (GLSC) histogram which takes into acco...

Over almost 70 years of perpetual improvement, Information Retrieval (IR), has had many approaches to satisfy one’s information need. In this paper, we want to put forward and measure the importance of the inclusion of a contextual dimension to enhance the relevance and effectiveness of a search task. Indeed, a search task is no more concerned w...

Current data warehousing and On-Line Analytical Processing (OLAP) systems are not yet particularly appropriate for textual data analysis. It is therefore crucial to develop a new data model and an OLAP system to provide the necessary analyses for textual data. To achieve this objective, this paper proposes a new approach based on information retrie...

Social network research has focused mainly on the inference of social influence, building of user communities and prediction analysis. However, very little work has been carried out to investigate and document how online analytical processing (OLAP) tools can interactively analyse social networks according to different perspectives and with multipl...

The International Charter1'Space and Major Disasters' is regularly activated during a catastrophic event and offers rescue teams comprehensive damage maps. Most of these maps are built by means of satellite image manual processing, which is often complex and demanding in terms of time and energy. Automatic processing supplies prompt treatment. Neve...

In this paper, license plate segmentation system is proposed for Algerian vehicles. The proposed system is divided into two main parts: identification of the license plate from the input image and then segmented the characters from license plate. After pre-processing the input image, first, a new method is used to locate the license plate at the ri...

The modeling process for text-data type used for analysis purposes is to give a special representation for this kind of unstructured data. The given representation offers a formal description for text data to enable an effective use of the information contained in the text. In this context, and in order to perform analysis on this unstructured data...

Nowadays, the explosive use of mobile phones leads to generate a large number of personal photos. The requirements of effective image retrieval becomes evident. In this paper, we overview image retrieval techniques with special emphasis on different works that consider automatic image annotation as solution to retrieve images in mobile environment....

The high dimensional dataset presents a serious challenge of visualization techniques such as Parallel Coordinates. The order and arrangement of dimensions in Parallel Coordinates has a major impact on the user analysis task. Therefore we need to find an expressive and effective order that helps the user to explore and analyze visualdisplay of data...

The image annotation is an effective technology for improving the Web image retrieval. Many works have been proposed to increase the image auto-annotation performance. The annotation quality depends on many factors: segmentation, choice of visual features...etc.. An image contains several visuals information (color, texture, shape....) but the best...

Traditional data warehousing technologies and On-Line Analytical Processing (OLAP) are unable to analyze textual data. Moreover, as OLAP queries of a decision-maker are generally related to a context, contextual information must be taken into account during the exploitation of data warehouses. Thus, we propose a contextual text cube model denoted C...

Microblogging sites have become a staple in our modern world. They provide the users with the ability to keep in touch with their contacts, using up of 140 characters in the case of Twitter sites. Responding to this emerging trend, it becomes critically important to interactively view and analyze the massive amount of microblogging data from differ...

Twitter has become a significant means by which people communicate with the world and describe their current activities, opinions and status in short text snippets. Tweets can be analyzed automatically in order to derive much potential information such as, interesting topics, social influence, user’s communities, etc. Community extraction within so...

The rapid development of computer tools allows the computer system to stoke very large amount of data with many parameters such as electronic payment systems, sensors and monitoring systems and other. We talk about large data bases along both dimensions: number of recordings and number of dimensions "attribute, variable". Analysis of these data bec...

This paper deals with the detection of skin pixels in color images containing different ethnic groups' skins. These images are subject to any form of distortion such as the variation of illumination and the variety of capture devices. We have used combination scheme of linear classifiers where each one is devoted to a specific ethnic group. We used...

L'hypertension artérielle et le diabète ont une prévalence croissante en Algérie. En tant que pathologies à l'origine de maladies cardiovasculaires graves, elles contribuent à une morbidité et mortalité considérable. Les problématiques liées aux maladies cardiovasculaires sont multiples et complexes ; elles s'y réfèrent à la fois au diagnostic et à...

In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit. Local methods divide images into blocks where fixed-size sub-image blocks are adopted as sub-units; or into regions by using segmented regions as sub-units in...

Les technologies entrepôt de données et OLAP actuelles permettent d'analyser et d'interroger les données structurées mais demeurent inefficaces pour l'analyse des données textuelles non structurées faute d'opérateurs adé-quats. En effet, un enrichissement des opérateurs OLAP classiques s'avère plus que nécessaire. Dans cet article, nous nous intére...

Agrégation sémantique du texte

At present, there are vast amounts of digital media available on the web. In the Web image retrieval, the semantics of an image is a big problem, generally, the search engines index the text associated to the image of Web pages. This text doesn’t correspond really to them. The image annotation is an effective technology for improving the Web image...

Dans ce papier, nous présentons la mise au point d’une plateforme embarquée sur FPGA dédiée au contrôle et à la régulation des systèmes dynamiques. A cet effet, nous allons montrer à travers les sections de ce papier les différentes étapes que nous avons suivies pour développer les trois parties essentielles d’un système de contrôle ou de régulatio...

The image retrieval is a particular case of information retrieval. It adds more complex mechanisms to relevance image retrieval: visual content analysis and/or additional textual content. The image auto annotation is a technique that associates text to image, and permits to retrieve image documents as textual documents, thus as in information retri...

In this paper, we propose a scheme for a land cover classification process from satellite images, with inclusion of topographic effects (elevation) available from a digital elevation model. First, we study and analyse errors provided from the relief on an available non-topographic classification image. We then present a classification process which...

The discrete cosine transform (DCT) is now well recognized as one of the most important technique in image data compression. Among the class of transforms possessing fast computational algorithms, the cosine transform has a superior energy compaction property. Due to its simple implementation scheme, the DCT is widely used as a substitute to the op...